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FLUX and Nano Banana: a product-image evaluation

Start with your own catalog.

Kevin Dosanjh
CMO, AI Vidia · Updated September 13, 2026
Overhead comparison spread of AI-generated product shots from two image models on a warm off-white Nordic studio surface
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Start with your own catalog. Choose a product with visible details, request a relevant edit and repeat on a variant. These steps show whether the method is useful beyond one attractive image.

Test editing and variants

Start with packaging that makes errors visible. Check text, shape and materials, then request a specific background or framing edit. Repeat with a relevant color or size variant. Keep rejected results and editing time, including compositing with real photography where needed.

Judge the finished use

Compare accepted files, total effort and current terms. Product-image quality does not establish improved ROAS. See AI product photography and the Midjourney comparison approach.

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Use editing as a separate evaluation step

Start with a neutral product scene that makes the packaging readable. Check lettering, shape and materials at normal viewing size and more closely. Then ask for more room for copy, a changed background or a different shadow. Observe whether the accepted product survives that edit.

Repeat with another relevant size or color, and inspect the pair as customers would see it in a catalog. Retain failures with specific reasons instead of selecting only the best result. If one workflow uses a real cutout product and another regenerates it, that distinction belongs in both the quality assessment and labor record. The finished application should decide whether either approach is usable.

Frequently asked questions

01What should we decide first?
Start with your own catalog. Choose a product with visible details, request a relevant edit and repeat on a variant. These steps show whether the method is useful beyond one attractive image.
02How should we evaluate the work?
Repeat with another relevant size or color, and inspect the pair as customers would see it in a catalog. Retain failures with specific reasons instead of selecting only the best result. If one workflow uses a real cutout product and another regenerates it, that distinction belongs in both the quality assessment and labor record. The finished application should decide whether either approach is usable.

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